Developing escape strategies for copepods using Q-learning
| dc.contributor.author | Holmberg, Erik | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för fysik | sv |
| dc.contributor.examiner | Gustavsson, Kristian | |
| dc.contributor.supervisor | Mehlig, Bernhard | |
| dc.date.accessioned | 2019-10-31T12:26:16Z | |
| dc.date.available | 2019-10-31T12:26:16Z | |
| dc.date.issued | 2019 | sv |
| dc.date.submitted | 2019 | |
| dc.description.abstract | Copepods are a type of small crustaceans with the ability to move using powerful jumps. This project seeks to develop a model for the dynamics of these copepods in the turbulent flows of the oceans and then apply Q-learning to find good navigation strategies. Contained in this project is also the development of a statistical model of a turbulent flow. It is found that using Q-learning it is possible for the simulated copepods to learn strategies that allow them to avoid dangerous areas almost equally as well as more simple strategies that require more information. | sv |
| dc.identifier.coursecode | TIFX05 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/300512 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | PhysicsChemistryMaths | |
| dc.subject | Machine learning | sv |
| dc.subject | Fluid mechanics | sv |
| dc.subject | Simulation | sv |
| dc.subject | Copepods | sv |
| dc.subject | Q-learning | sv |
| dc.title | Developing escape strategies for copepods using Q-learning | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H | |
| local.programme | Complex adaptive systems (MPCAS), MSc |